Evidence map›Paper›PMID 29167693›Full record

ArticleDrugs in context2017

Approving cancer treatments based on endpoints other than overall survival: an analysis of historical data using the PACE Continuous Innovation Indicators™ (CII).

Neon Brooks, Mario Campone, Silvia Paddock, Scott Shortenhaus, David Grainger, Jacqueline Zummo, Samuel Thomas, Rose Li

Abstract read
In one paragraph

Article in Drugs in context, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Neon BrooksRose Li and Associates, Inc., Bethesda, MD, USA.
Mario CamponeInstitut de Cancerologie de l'Ouest, Angers, France.
Silvia PaddockRose Li and Associates, Inc., Bethesda, MD, USA.
Scott ShortenhausEli Lilly and Company, Indianapolis, IN, USA.
David GraingerEli Lilly and Company, Indianapolis, IN, USA.
Jacqueline ZummoEli Lilly and Company, Indianapolis, IN, USA.
Samuel ThomasRose Li and Associates, Inc., Bethesda, MD, USA.
Rose LiRose Li and Associates, Inc., Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an active debate about the role that endpoints other than overall survival (OS) should play in the drug approval process. Yet the term 'surrogate endpoint' implies that OS is the only critical metric for regulatory approval of cancer treatments. We systematically analyzed the relationship between U.S. Food and Drug Administration (FDA) approval and publication of OS evidence to understand better the risks and benefits of delaying approval until OS evidence is available. SCOPE: Using the PACE Continuous Innovation Indicators (CII) platform, we analyzed the effects of cancer type, treatment goal, and year of approval on the lag time between FDA approval and publication of first significant OS finding for 53 treatments approved between 1952 and 2016 for 10 cancer types (n = 71 approved indications).

findingsGreater than 59% of treatments were approved before significant OS data for the approved indication were published. Of the drugs in the sample, 31% had lags between approval and first published OS evidence of 4 years or longer. The average number of years between approval and first OS evidence varied by cancer type and did not reliably predict the eventual amount of OS evidence accumulated.

conclusionsStriking the right balance between early access and minimizing risk is a central challenge for regulators worldwide. We illustrate that endpoints other than OS have long helped to provide timely access to new medicines, including many current standards of care. We found that many critical drugs are approved many years before OS data are published, and that OS may not be the most appropriate endpoint in some treatment contexts. Our examination of approved treatments without significant OS data suggests contexts where OS may not be the most relevant endpoint and highlights the importance of using a wide variety of fit-for-purpose evidence types in the approval process.

Indexed as

cancerdatabasepolicy makingrisks and benefitsstandards of caresurrogate endpointssurvivalU.S. Food and Drug Administration

Identifiers

PMID29167693
PMCPMC5699106

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.